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Data Engineer Project Jobs in Bolingbrook, IL (NOW HIRING)

Resultant

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and ... You'll partner with solution architects, data scientists, and project leads to gather requirements ...

Resultant

Data Engineer - Databricks

Chicago, IL

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and ... You'll partner with solution architects, data scientists, and project leads to gather requirements ...

Fitch Group

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... projects that matter to our organization and clients. We are also proud to be recognized by Built ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...

LiniumIT

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

The goal of the project is to provide clients access to the data so they can access the data ... Full stack Java developer * Hands on experience in building production applications using Node.js ...

1 point system

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Experience in building Data warehouse and Business intelligence projects * Good Experience using ... Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or ...

Fitch Solutions

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... projects that matter to our organization and clients. We are also proud to be recognized by Built ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · Remote

$108K - $147K/yr

You'll build and optimize our modern data platform, lead a distributed engineering team, and ... Project Delivery * Prioritize analytics projects, balance roadmap demands, and ensure timely ...

IBM

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

From day one, you'll collaborate with global clients and contribute to projects that help ... As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · On-site +1

$109K - $148K/yr

You'll build and optimize our modern data platform, lead a distributed engineering team, and ... Project Delivery * Prioritize analytics projects, balance roadmap demands, and ensure timely ...

Gerber Collision & Glass

Sr. Data Engineer

Elmhurst, IL

$114K - $136K/yr

Participate in daily scrums, work with Scrum Master and QA Team on projects, and support delivery ... Multiple data engineering, cloud or talend related certifications * Experience with AWS EKS service ...

The Boyd Group

Sr. Data Engineer

Elmhurst, IL

$114K - $136K/yr

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering ... and QA Team on projects, and support delivery timelines and priorities Solves problems ...

The Boyd Group

Sr. Data Engineer

Elmhurst, IL · On-site

$114K - $136K/yr

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering ... and QA Team on projects, and support delivery timelines and priorities Solves problems ...

Pwc

Data Engineer - Senior Associate

Chicago, IL · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Understand the broader objectives of your project or role and how your work fits into the overall ...

Pwc

Data Engineer - Senior Associate

Rosemont, IL · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Understand the broader objectives of your project or role and how your work fits into the overall ...

Wight & Company

AI Solutions & Data Engineer

Darien, IL

$111K - $133K/yr

The AI Solutions & Data Engineer will report to the Chief Innovation Officer and collaborate with ... Design, build, test, and maintain AI agents that support project delivery and business operations.

Wight & Company

AI Solutions & Data Engineer

Darien, IL · On-site

$111K - $133K/yr

The AI Solutions & Data Engineer will report to the Chief Innovation Officer and collaborate with ... Design, build, test, and maintain AI agents that support project delivery and business operations.

Deloitte

Senior Data Engineer

Chicago, IL · Hybrid

$109K - $148K/yr

Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

1872 Consulting

Principal Data Engineer

Chicago, IL · Hybrid

You'll have the ability to make an impact on a highly visible project, and get the opportunity to work with other talented Data, Software and DevOps engineers. To summarize our tech environment at a ...

1872 Consulting

Principal Data Engineer

Chicago, IL · Hybrid

You'll have the ability to make an impact on a highly visible project, and get the opportunity to work with other talented Data, Software and DevOps engineers. To summarize our tech environment at a ...

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Showing results 21-40

All JobsData Engineer Project JobsData Engineer Project Jobs in Bolingbrook, IL

Data Engineer Project information

See Bolingbrook, IL salary details

$45.5K

$163.2K

$240.8K

How much do data engineer project jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer project in Bolingbrook, IL is $163,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,000.00 and $168,100.00 per year, depending on experience, location, and employer.

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

What job categories do people searching Data Engineer Project jobs in Bolingbrook, IL look for?

The top searched job categories for Data Engineer Project jobs in Bolingbrook, IL are:

What cities near Bolingbrook, IL are hiring for Data Engineer Project jobs?

Cities near Bolingbrook, IL with the most Data Engineer Project job openings:

Data Engineer Project jobs near you

Data Engineer - Databricks

Resultant

Chicago, IL • On-site, Remote

$118K - $141K/yr

Full-time

Posted 11 days ago

Job description

Company Description
Resultant is a modern consulting firm with a radically different approach to solving problems.
We don't solve problems for our clients. We solve problems with them.
Through outcomes driven by data analytics, technology solutions, digital transformation, and beyond, our team works with clients in both the public and private sectors to solve their most complex challenges. We start by learning as much as we can about who they are, how they work, and what they're striving for so we can feel their problems as our own. Partnering with our clients means their desired outcomes are always top of mind, their challenges and strengths guiding our efforts. We build client-focused relationships before we build unique solutions that blaze past expectations.
Originally founded in Indianapolis in 2008, Resultant now employs more than 400 team members who operate from offices around the United States including Indianapolis and Fort Wayne, Indiana; Columbus, Ohio; Lansing, Michigan; Denver, Colorado; Dallas, Texas and Atlanta, Georgia.
We're Resultant. Clients partner with us to see a difference. People join us to make one.
Job Description
We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to healthcare, financial services, and manufacturing. You'll work hands-on with the Databricks Data Intelligence Platform to turn messy, disconnected client data into governed, trustworthy, analytics- and AI-ready assets.
This is a client-facing consulting role. You'll partner with solution architects, data scientists, and project leads to gather requirements, design pipelines, and deliver production-grade solutions - then explain what you built and why it matters in language business stakeholders actually understand.
What You'll Do
  • Design, build, and optimize scalable ETL/ELT pipelines on Databricks using PySpark, Spark SQL, and Delta Lake
  • Implement Medallion (Bronze/Silver/Gold) architecture patterns, applying data quality checks, schema evolution, and enforcement along the way
  • Build declarative pipelines with Delta Live Tables (DLT) and ingest streaming/incremental data using Auto Loader and Structured Streaming
  • Orchestrate and monitor production workloads using Databricks Workflows, integrating with tools like Airflow or Azure Data Factory where needed
  • Configure and maintain Unity Catalog for data governance - catalogs, schemas, access controls, lineage, and PII masking
  • Partner with data scientists to prepare feature-engineered, ML-ready datasets and support model deployment workflows using MLflow
  • Tune cluster configuration, job design, and Photon/serverless compute for performance and cost efficiency
  • Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and asset bundles (Git-based workflows, Azure DevOps, GitHub Actions, or similar)
  • Query, profile, and assess the quality of large, complex datasets from a wide variety of source systems
  • Collaborate with solution leads, architects, and project managers on solution design and technical architecture decisions
  • Participate directly in client-facing work: requirements gathering, solution reviews, and translating technical tradeoffs into plain-language business impact
  • Document solutions clearly - architecture diagrams, data flow documentation, code comments, and runbooks

Qualifications
Required
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience)
  • 2+ years of hands-on data engineering experience, including production work on the Databricks platform
  • Strong hands-on experience with PySpark and Spark SQL
  • Practical experience with Delta Lake fundamentals - ACID transactions, OPTIMIZE/Z-ORDER, partitioning, and schema evolution
  • Solid SQL skills across relational platforms (SQL Server, Postgres, Oracle, Snowflake, etc.)
  • Experience with at least one major cloud platform (Azure, AWS, or GCP) and its data services
  • Working knowledge of data modeling (dimensional modeling, 3NF) and ETL/ELT design principles
  • Strong communication skills and comfort working directly with clients and non-technical stakeholders
  • A collaborative, detail-oriented mindset with a bias toward solution quality and follow-through

Preferred / Nice-to-Have
  • Databricks Certified Data Engineer Associate or Professional
  • Experience with Unity Catalog, Delta Live Tables, and Auto Loader in production environments
  • Exposure to MLflow, Feature Store, or Databricks Vector Search for AI/ML-enabled use cases
  • Experience with Databricks Asset Bundles and CI/CD tooling (GitHub Actions, Azure DevOps, GitLab)
  • Familiarity with Terraform or other infrastructure-as-code tooling
  • Experience with dbt, Kafka/Event Hubs, or BI tools (Power BI, Tableau) connected to Databricks
  • Docker/Kubernetes experience for containerized workloads
  • Prior consulting experience, or comfort moving across multiple client engagements and industries

Additional Information
What It's Like to Work Here
At Resultant, we are driven by purpose-partnering with clients to take on their toughest challenges and creating outcomes that make a real difference. Success here means lasting impact, not just delivered projects. We work as collaborative experts, leaning into complexity with confidence and humility, asking smart questions, sharing ideas freely, and combining our diverse expertise to turn challenges into clear, transformative solutions. We make our outcomes visible by sharing results, stories, and lessons learned, because growth happens through shared experience.
Accountability & Ownership
Resultant offers a flexible, high-trust environment, paired with a shared commitment to accountability:
  • Take ownership of your work from start to finish and deliver on your commitments to clients and coworkers
  • Communicate proactively, especially when priorities shift
  • Focus on outcomes, follow-through, and measurable impact
  • Show up where it matters, in person or virtually, when it strengthens relationships or results
  • Do the small things brilliantly: respond timely, stay organized, and follow through to build trust

We trust each other to own our work and deliver exceptional results. Flexibility means autonomy paired with accountability: the freedom to work in ways that fit your life, balanced with the reliability our clients and coworkers count on.
Is Resultant the right spot for you?
You may thrive here if you bring curiosity and a consulting mindset to every challenge, take ownership of your growth, and give and receive feedback with intention. If you're energized by bold ideas, continuous learning, and investing in the people around you, this is your place. At Resultant, we show up for each other, own our outcomes, and build leaders who create lasting impact for our clients, our communities, and each other.
Equal Opportunity Employer
We embrace AI across everything we do, and that includes how you prepare for this interview. Feel free to use AI tools to research the role, practice your responses, and put your best foot forward. What matters to us is getting to know the real you - how you think, how you communicate, and what you genuinely bring to the table. Our interviews are designed to go deeper than any polished answer, so come curious and come as yourself without the support of an AI tool during our conversation.

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